Model Comparison

Pixtral-12B vs QwQ-32B

QwQ-32B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Pixtral-12B outperforms in 0 benchmarks, while QwQ-32B is better at 1 benchmark (IFEval).

QwQ-32B significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Alibaba Cloud / Qwen Team
QwQ-32B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

20.1B diff

QwQ-32B has 20.1B more parameters than Pixtral-12B, making it 162.1% larger.

Mistral AI
Pixtral-12B
12.4Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
12.4B
Pixtral-12B
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral-12B supports multimodal inputs, whereas QwQ-32B does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Pixtral-12B

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Pixtral-12B

Apache 2.0

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Pixtral-12B was released on 2024-09-17, while QwQ-32B was released on 2025-03-05.

QwQ-32B is 6 months newer than Pixtral-12B.

Pixtral-12B

Sep 17, 2024

1.6 years ago

QwQ-32B

Mar 5, 2025

1.1 years ago

5mo newer

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Pixtral-12B's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Pixtral-12B's cutoff date.

Pixtral-12B

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Higher IFEval score (83.9% vs 61.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Pixtral-12B
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Pixtral-12B vs QwQ-32B

QwQ-32B significantly outperforms across most benchmarks. Pixtral-12B is made by Mistral AI and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
Pixtral-12B supports 128K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Pixtral-12B is developed by Mistral AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.